Principal AI Analytics PM for Healthcare Education

RELX INC

Springfield (OH)

On-site

USD 118,000 - 220,000

Full time

3 days ago
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Benefits offered by this job

Annual incentive bonus

Job summary

RELX is seeking a Principal Product Manager to lead AI-enabled analytics across healthcare education products. You will guide product discovery, strategy, and execution, translating advanced technologies into practical analytics solutions that improve decision-making for internal and external customers.

With 5+ years in product management or analytics, you will lead end-to-end development, collaborate with data science, engineering, UX, and domain experts, and champion responsible AI usage while

Qualifications

  • 5+ years in product management or analytics.
  • Experience delivering AI- or data-driven products.
  • Ability to translate complex data concepts into product value.
  • Strong communication and storytelling skills.
  • Healthcare or education domain experience is a plus.

Responsibilities

  • Define vision and roadmaps for AI-enabled analytics in healthcare education products.
  • Identify opportunities to simplify analytics and surface insights using AI.
  • Lead end-to-end product development from discovery to delivery and iteration.
  • Translate customer and business needs into clear product strategies and requirements.
  • Partner with cross-functional teams to deliver scalable solutions.
  • Maintain prioritized backlog and support agile planning and delivery.

Skills

Product leadership
Stakeholder management
Communication
Agile
Cross-functional collaboration
Analytics mindset

Job description

RELX is seeking a Principal Product Manager to lead AI-enabled analytics across healthcare education products. You will guide product discovery, strategy, and execution, translating advanced technologies into practical analytics solutions that improve decision-making for internal and external customers.

With 5+ years in product management or analytics, you will lead end-to-end development, collaborate with data science, engineering, UX, and domain experts, and champion responsible AI usage while

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